Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
PMID: 40022261

Abstract

OBJECTIVE: Exploring the construction of a fusion model that combines radiomics and deep learning (DL) features is of great significance for the precise preoperative diagnosis of meningioma sinus invasion.

Authors

  • Yuan Gui
    Department of Radiology, the fifth affiliated hospital of zunyi medical university, zhufengdadao No.1439, Doumen District, Zhuhai, China.
  • Wei Hu
    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China.
  • Jialiang Ren
    GE Healthcare China, 100176, People's Republic of China.
  • Fuqiang Tang
    Department of Radiology, The Fifth Affiliated Hospital of Zunyi Medical University, zhufengdadao No.1439, Zhuhai, Doumen District, China.
  • Limei Wang
    Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
  • Fang Zhang
  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.

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